NVIDIA is looking for a Senior Software Engineer in Object Storage to design, implement, and extend the capabilities of our internal object storage system. This system is a core service that is critical to NVIDIA AI/ML research teams creating best of breed generative AI systems and pioneering world models. We are looking for a software developer who has a deep understanding of object storage, outstanding architecture and design skills and a track record in writing and delivering large-scale storage services.
What You Will Be Doing:
Contributing to the design, development, and testing of our object storage system
Developing storage capabilities to support NVIDIA research teams and other users
Extending the availability and reliability of our deployments at scale – 10k+ nodes, exabytes of data
Analyzing and improving system performance at all levels
Automating storage infrastructure end-to-end including provisioning, management and monitoring
Making contributions upstream to open source storage codebases
What We Need To See:
Consistent track record of developing object storage services and an understanding of strategies for addressing data availability, durability, and fault tolerance
History of ownership of product delivery from inception to support
Great communication and presentation skills
Prior experience developing distributed systems with Python, Go, C/C++, or similar
Bachelor’s of Science in Computer Science, or related field or equivalent experience
8+ yrs of relevant experience
Ways to stand out from the crowd:
You have developed and delivered major components of a distributed storage system that has been deployed at exabyte scale
Strong experience with concurrency models and primitives (threads, event loops, distributed locking, etc.)
Skilled with building and delivering cloud services, with specific focus on storage or data systems. You have made sustained contributions to open source projects
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Track record developing object storage services and understanding data availability, durability, and fault tolerance
- Experience owning product delivery from inception through support
- Strong communication and presentation skills
- Experience developing distributed systems with Python, Go, C, C++, or similar
- Bachelor of Science in Computer Science, related field, or equivalent experience
- 8+ years of relevant experience
- Experience delivering major distributed storage components at exabyte scale
- Strong experience with concurrency models and primitives, including threads, event loops, and distributed locking
- Experience building and delivering cloud services focused on storage or data systems
- Sustained contributions to open-source projects
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
